With a growing number of cancer cases worldwide, workload of expert histopathologists is increasing dramatically [1]}. A 2018 survey by the Royal College of Pathologists reported acute shortage of histopathologists in the UK with the problem likely to grow further in the coming years. Digitalization of histopathology slides has led to computational pathology playing an important role by using the power of deep learning, image analytics and big data [2]}. This not only helps to assist with the diagnostic process resulting in efficiency gains [3]}, [4]} but also to enhance diagnostic precision [5]}, [6]}.
